llm-wiki

Build and maintain a persistent markdown knowledge base with cross-links and provenance.

Updated May 12, 2026
One-click install
npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill llm-wiki-hungthinh04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/hungthinh04/Hermes_AI_Agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill llm-wiki-hungthinh04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you build and maintain a persistent, interlinked markdown knowledge base so research does not have to be rediscovered from scratch.

Core Features & Use Cases

  • Wiki creation and growth: Initialize a new knowledge base with a clear schema, index, and log structure.
  • Source ingestion and synthesis: Turn articles, papers, transcripts, and notes into connected pages with provenance and cross-references.
  • Wiki maintenance and QA: Orient to an existing vault, check for duplicates, broken links, stale pages, contradictions, and tag or frontmatter issues.

Quick Start

Use the llm-wiki skill to orient around my existing wiki and ingest this source into the right pages while preserving links, schema, and the log.

Frequently Asked Questions about llm-wiki

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a persistent markdown knowledge base from research sources?

You build a persistent markdown knowledge base by initializing a new wiki with a clear schema and index, then ingesting articles, papers, and transcripts into connected pages with provenance tracking and cross-references.

What is the best way to maintain wiki health and fix broken cross-links?

Maintaining wiki health involves auditing your existing vault for duplicates, broken cross-links, stale pages, contradictions, and frontmatter issues, while preserving schema compliance and append-only logging.

Can I ingest research papers and transcripts into an existing Obsidian vault?

Yes, you can ingest research sources like papers and transcripts into an existing vault by orienting to the current structure and adding connected pages while preserving cross-links, schema compliance, and provenance tracking.

How does cross-linking work when ingesting new source material?

Cross-linking works by synthesizing ingested source material into connected pages that preserve existing links, maintain schema compliance, and track provenance, ensuring the knowledge base interconnects cohesively.

Does the knowledge base support answering questions from existing pages?

Yes, the knowledge base supports answering questions directly from existing pages by orienting around the current vault structure and retrieving synthesized information while maintaining provenance tracking.